theory

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What may come from exascale? Improved medicines, longer-range batteries, better control of 3-D parts, for starters

    From Inside HPC, Oct. 14, 2020: With the arrival of exascale computing in 2021, researchers expect to have the power to describe the underlying properties of matter and optimize and control the design of new materials and energy technologies at levels that otherwise would have been impossible. Fermilab scientist Andreas Kronfeld talks about how participation in DOE’s Exascale Computing Project can help solve complicated calculations in particle physics.

    Podcast: Neutrinos lead to unexpected discovery in basic math

      From Quanta Magazine, October 2020: This 17-minute podcast episode explores how three physicists stumbled across an unexpected relationship between some of the most ubiquitous objects in math. Hear Fermilab scientist Stephen Parke, DUNE collaborator Deborah Harris of York University, and Fields medalist Terence Tao discuss neutrinos, linear algebra, and the international, Fermilab-hosted Deep Underground Neutrino Experiment.

      New calculation refines comparison of matter with antimatter

        From Brookhaven National Laboratory, Sept. 17, 2020: Brookhaven theorists publish an improved prediction for the tiny difference in kaon decays observed by experiments. Understanding these decays and comparing the prediction with more recent state-of-the-art experimental measurements made at Fermilab and CERN gives scientists a way to test for tiny differences between matter and antimatter.